From Putting Your Data to Work… A Basic Overview of Analytics

Analytics is about looking for patterns in data to help answer questions. Most businesses use analytics to help ensure more data-driven decision-making.

The primary people responsible for conducting analytics on the massive amounts of data we have today are analysts. Analysts are skilled in using various technologies and methodologies to identify, inventory and integrate large amounts of data quickly.

Many Analysts today feel like they are drowning in a sea of data. They need to know how to take control of their data and analysis to quickly answer business questions and make critical decisions. They want to confidently present results and solutions to their managers, colleagues and clients.

You should get started by building a baseline understanding of analytics. The term analytics can often be used interchangeably with statistics and data science. What separates analytics from disciplines like statistics and data science is generally the speed of the analysis and the focus on solving business problems.

The most common form of analytics is business analytics, which is usually used by senior leaders and decision-makers to investigate problems, validate assumptions and to guide strategic planning.

Business analysts are therefore the most common type of analyst. If you do a job search on the title analyst, as many as half the posting will likely be business analysts. However, analytics can be used in an almost limitless number of business functions in specific areas like HR, recruitment, marketing, finance, and so on. Each one can have its very own analyst.

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Analysts have been around a long time, but recent technological advances have both allowed us to produce and capture more data as well as give us the ability to analyze immense data sets quickly. Thus we are amidst a huge boom in the applications of analytics and the need for analytics talent across the globe. Analytics is something just about every business leader is trying to figure out how to use more effectively in their business. To add to our challenge, the demand for good analysts is booming just as fast as the explosion in big data.

As a result, there is a huge shortage of people who are skilled in working with data to answer questions and solve problems. This is why you have seen the number of analyst job postings increasing at an amazing rate.

If you are a business leader, manager, owner, and/or executive are not actively trying to surround yourself with analysts and if you are not infusing an analytics centric culture in your business, you will most likely soon see your business fail.

A business needs analysts to make sense of big data, manage the storage of the data, and know when to use which of the 4 types of analytics (descriptive, diagnostic, predictive, and prescriptive). To be effective, analysts need to have business intelligence tools to create data visualizations, build business dashboards and tell stories with data.

So whether you are an analyst or someone who oversees analysts, Putting Your Data to Work is designed as guidebook to help you get the most out of your business data.

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DMAIPH – Decision-making, Analytics & Intelligence Philppines

Over the past few years businesses in the Philippines have invested heavily in big data, analytics and data science, but still have not achieved the expected outcomes of data-driven companies.

Based on our learnings from the 100’s of Filipino businesses and 10,000s of Filipinos who have taken part in DMAIPH Analytics trainings all across the country, we have crafted a proven,  non-technical approach to upskilling your team in analytics.

In 2019, we will be launching two new training programs: (1) Our DMAIPH Applied Analytics Master Class series for executives, leaders and decision-makers and our (2) DMAIPH Applied Analytics Boot Camp series for practicing analysts.

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How Many Data Scientists are There and is There a Shortage?

Recently saw this article on KDnuggets (check them out if you aren’t already subscribed) and thought it was worth using to update some of my slides about the current talent shortage for Data Science & Analytics (DSA) skills.

This shortage is definitely acute here in the Philippines.

The 2011 McKinsey report on Big Data said that “The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of Big Data.”


In 2014, KDnuggets examined “How Many Data Scientists are out there?” and came with an estimate of 50-100,000, and did not see much evidence of a massive shortage then. In 2014, we found only about 1,000 job ads for “Data Scientist” on indeed.com. 


Now that we reached 2018, KDnuggets has examined how accurate were those predictions and tried to answer three questions:

1. Is there a shortage of Data Scientists now?
2. How many “Data Scientists” are there , both in name and in function ?
3. What are the future prospects for Data Scientists?

 

The answer to the first question is a resounding YES!
  • LinkedIn Workforce Report for US (August 2018) says “Demand for data scientists is off the charts  … data science skills shortages are present in almost every large U.S. city. Nationally, we have a shortage of 151,717 people with data science skills.
  • Note that LinkedIn reports shortages for people with “Data Science Skills”, not necessarily people with “Data Scientist” title.
  • We can estimate the demand for “Data Scientists” from two popular job search sites – indeed and Glassdoor.
  • Search on indeed.com for “data scientist” (in quotes) in USA finds only about 4,800 jobs. However, in a search for data scientist without quotes, about 30,000 jobs.
US is the largest but not the only market for Data Scientists. We can also see strong demand for Data Scientists elsewhere:
  • UK: 1,100 jobs
  • Germany: 900 jobs
  • France: 718 jobs
  • Philippines: 599 jobs  — You Read That Right! More than India.
  • India: 500 jobs
Glassdoor search for “Data Scientist” finds about 26,000 jobs in USA (same results if quotes are removed).
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Question 2: How Many “Data Scientists” are There, Both in Name and in Function?

Google search defines a data scientist as “a person employed to analyze and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making.”

There are many people in the industry and academia who do this work without having the formal title of a data scientist, since Data Science is an interdisciplinary field at the intersection of Statistics, Computer Science, Machine Learning, and Business. We can estimate the current population of Data Scientist by examining popular data science platforms.

Kaggle (now part of Google) is a platform for data science  and analytics competitions. It claims to be the world’s largest community of active data scientists.

While not all Data Scientists take part in Kaggle competitions or have a Kaggle account, and not all Kagglersdo work of data science, it is reasonable to assume a large overlap.

On Sep 19, 2018 Kaggle says they surpassed 2 million members in August 2018.

Since not all Kaggle members are active, Kaggle membership is probably a global upper bound for people engaged in data science.

KDnuggets is now reaching over 500,000 unique visitors per month.

KDnuggets now has about 240,000 subscribers/followers over Twitter, LinkedIn, Facebook, RSS, and email.

On LinkedIn, there are many groups dedicated to data science, and although the engagement in those groups has been falling, we can use their membership as a rough estimate. Here are three of the largest groups

  • Big Data and Analytics  –  339,000
  • Data Science Central – 278,000
  • Data Mining, Statistics, Big Data, Data Visualization, and Data Science – 170,000

Searching LinkedIn for “data scientist”  (quotes are important) we find over 100,000 people with that actual title.  So if globally between 200,000 and 1,000,000 people are doing some Data Science related work, then a majority of them does not have a Data Scientist title.

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We can also estimate the by looking at activities related to languages and platforms most connected to Data Science: R, Python, Machine Learning libraries, Spark, and Jupyter.

  • Apache Spark Meetups had 225K members recently and growing every month.
  • Intel Capital estimated that there 1 million R programmers worldwide.
  • Based on the public data on python.orgwebsite, there have been around 2.75 million downloads.
  • Jupyterproject has around 3 million users at present.

These numbers can give us a rough upper limit on the number of data analysts/data scientists around the world.

So yeah, to answer the question, there are at least 200,000

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Question 3: What are the Future Prospects for Data Scientists?

The near-term future for Data Scientists looks bright.

LinkedIn 2017 emerging jobs report claims that machine learning engineers working today has increased by 9.8 times as compared to 5 years ago.

Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn. Data scientist roles have grown over 650% since 2012.

Job growth in the next decade is expected to outstrip growth during the previous decade, creating 11.5M jobs in the Data Science/Analytics area by 2026, according to the U.S. Bureau of Labor Statistics.

IBM recently claimed that by 2020 the number of Data Science and Analytics job listings is projected to grow by nearly 364,000 listings to approximately 2,720,000. No matter what the true number of data professionals out there currently, their number is likely to grow in the near future.

So What are the Future Prospects for Data Scientists in the Philippines?

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Based on Data from APEC (Asia Pacific Economic Cooperation), there is both a huge demand here in the Philippines as well as in the jobs where the Philippines already has an outsourcing pipeline too.

SO what does that mean for you?

You Need to Know Exactly What You Need to Hire/Learn how to have/be a Data Scientist?

And it’s not easy.

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To assemble a team of DSA Practitioners, you need to make sure you have the right combination of talent.

Here is how I would start.

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Make sure you have people who can do these functions.

And if you want to learn how to be one of these key players, I’m betting you need to know where to start.

So wether you want to be a DSA enabled professional or you want to assemble a DSA team, here is a better understanding of how that looks.

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Yeah I know. It is a lot!

So, what now?

Connect with DMAIPH and we will get you started!

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DMAIPH – Decision-making, Analytics & Intelligence Philppines

Over the past few years businesses in the Philippines have invested heavily in big data, analytics and data science, but still have not achieved the expected outcomes of data-driven companies.

Based on our learnings from the 100’s of Filipino businesses and 10,000s of Filipinos who have taken part in DMAIPH Analytics trainings all across the country, we have crafted a proven,  non-technical approach to upskilling your team in analytics.

In 2019, we will be launching two new training programs: (1) Our DMAIPH Applied Analytics Master Class series for executives, leaders and decision-makers and our (2) DMAIPH Applied Analytics Boot Camp series for practicing analysts.

We will feature case studies of real Filipino run business, exercises based on actual analytics challenges being solved by Filipino analysts, and provide you with a copy of my book, Putting Your Data to Work, an analytics guidebook for the Filipino professional

Connect with us via our marketing partner, http://www.sonicanalytics.com to learn about upcoming analytics trainings and events. 

The Key Ingredients of Impactful Analytics Trainings – Plan Your 2019 Analytics Trainings Now

When I first started conducting analytics trainings in the Philippines back in 2012, I was pretty much the only game in town.

There were very few companies offering any kind of big data management training, the terms data scientist and data storytelling were not part of the lexicon and 90+% of companies operating in the Philippines were pretty much just using MS Excel for their analysis and reporting.

You want to know what has changed in the past six years?

Not much, except that there are now at least a dozen companies offering analytics themed trainings, courses and certifications.

Sure they all sound like they are going to teach you cutting edge techniques to finally get a handle on all your big data, but in the end I keep hearing the same thing… the training I went to didn’t really give me anything I can use.

The training was too abstract, to high level, to dependent on one type of software, etc are the constant feedback I here from executives and managers who have been spending on outside training for their teams.

That plus it’s gotten quite expensive.

Analytics Executive Masterclasses, Big Data Boot Camps, Master’s Degrees in Data Science… they cost a lot when most companies are having to tighten their training budgets.

So the risk of wasting time and money on something that is not really going to move the needle is becoming a problem with all these analytics trainings.

With all the efforts of so many people to “help” the Filipino people level up their organizations analytics talent, you’d think by now we should be really competent when it comes to the use of advanced analytics techniques.

Unfortunately, that is just not been the case. There are definitely some pockets here and there were some world class analytics is happening, but for the most part we have to accept the reality that we have a long way to go to be on the level of Singapore, Viet Nam or China when it comes to analytics.

The one thing that has no changed at all since I started all this back in 2012, is the fact that most companies are still relying mostly on MS Excel for 90+% of their analytics.

Everyone wanted to run before they could walk. They through money at high priced trainings with cool sounding names promising to supercharge your business.

I think it’s time to face the reality, that while a few of our companies can do the big stuff, they are also sucking up all the available talent. It’s really, really hard to build a solid analytics team in your business without breaking the bank.

Unless you do what I do.

Get back to the basics.

Make sure everyone is able to really optimize the use of Excel.

Build a solid foundation in analytics that starts with aligning the data gathers, data managers, analysis builders and data presenters.

Make sure your dats is clean, easy to access, fresh, and shared.

Focus on what’s most important to the business.

Then you add on.

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So when you go out to find an analytics training for your team, look for some basic ingredients.

The 4 Key Content Ingredients to Analytics Training are:

  1. Data Sourcing
  2. Data Management
  3. Data Analysis
  4. Data Presentation

If its missing one or more of these ingredients, the training is going to leave you with a sense that something is missing. You will likely struggle to implement what you learned in class.

The 3 Key Trainer Ingredients to Analytics Training are:

  1. Knowledge
  2. Engagement
  3. Hands on Practice

 

Over the next couple of weeks I’ll be blogging about each of these ingredients, so that we you and your team sit down to plan your analytics upskill strategy for 2019 you’ve got all the angles covered.

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The Data Analyst Era

FIRST THINGS FIRST,

 

https://www.sonicanalytics.com/

Do you think this is still the career era for nurses? The era of Physical Therapist?  The Networking era? The I.T eras? Why don’t you try to type in google right now and search Most in demand jobs in the futureand you will mostly find “Analyst” on every job description in demand in the future. The worst case is that you will also discover the worst job in the future, if you have been caught on that category. I say we are here to save you.

We are here to help you start building your future right now

 

https://www.facebook.com/pg/dmaiph/photos/?tab=album&album_id=1316439141834859And be the first one to learn and know what is in demand. We are here to supply you knowledge and provide you a strong foundation in analytics. We have the same curiosity when it comes to analytics? Trust me, I’m not a big fan of numbers, but I’m wrong, I never thought analytics also plays a role in giving us a perception through data visualization with the right purpose of using numbers. Not just some numbers you need to compute instructed by your professors to do so.

 

It’s all about numbers but.

It also equips with visualization with easy number to analyze. If you notice right now visualization plays an important role in our digital age today. Because we prefer to see imagery instead of computation, we prefer reading pictures instead reading books. Analytics have the same concept and there is a huge shortage of people who are skilled in working with data to answer questions to solve problems. Sonic Analytics

Therefore, you have seen the number of analyst job postings increasing at an amazing rate. Then why not apply it into our career, use this as an asset for you to innovate.

 

For those who are interested in or just beginning a career in data analysis,

here’s a few tips to help you get started,

Be willing to learn,

Being a sponge in learning data analysis (and with any field) can only reap the benefits. With data analysis, it’s important to start small and learn the basics and foundations before moving on and tackling bigger things. learning-picture.jpg

Building a solid foundation of education in the beginning helps you know the basics and allows you to work on building your skills and knowledge as you progress through your career.

 

Don’t be afraid to ask questions and get help

You can’t do it alone, and not seeing out help can cost you opportunities as you progress through your career. Reaching out isn’t a sign of defeat or being unknowledgeable, it shows that you’re passionate and want to learn more but need the proper guidance to get you there.images

Becoming a data analyst is a great career option for those who love to work with numbers with the right tools (We will guide you) to help you and to help companies, organizations draw conclusions and arm them with the information they need to make for decision making.

If you’re a beginner,

26993474_1325177484294358_3157857508557595202_nDon’t worry, we are here to teach you the important fundamentals of data analytics step by step in a layman’s term.

Now, it’s your big chance to participate in our upcoming trainings which focuses more on teaching young professionals like you.

 

DMAIPH is proud to present this 3-day Data Analytics training that covers different aspects of data identification, collection, storage, transformation, and analysis and involve hands-on use of common data management and analysis tools such as Excel, SQL and in depth learning of the tool “Tableau”, this is also designed for those with little to no prior experience with these tools.

Analytics Experts Dan Meyer (DMAIPH) and Dominic Ligot (Cirrolytix) have joined forces to offer a unique training focusing on both the Analysis and the Management of Big Data.

Attendees will learn how to identify the right data, how data can be efficiently stored, then transformed into a friendly form for analysis, and finally how data analysis can yield insights.

Come and Join Us!

Data Analytics 3.0

February 20 – 22 | 9:00am to 5:00pm

For inquiries: info@sonicanalytics.com | marketing@sonicanalytics.com

|  (02) 959 – 8017 | 0917-799-2827

 

Register Now!

Upskilling 500,000 Will Require 1,000 Trainers… Where To Start?

So when I start talking about the AAP Analytics Moonshot of up skill training 500,000 Filipinos in Data Science and Analytics skills over the next 5 years, one of the central questions I face is who will do the training?

Well, that’s easy. People who are right now doing analytics everyday. The hard part is getting the ready to be trainers. To know how to present material, assess if the material is being understood, handling questions and managing the training environment are not things a lot of professional analysts are used to doing.

So we basically take the Fundamentals of Analytics, and we turn the course into a train the trainer exercise, where we apply teaching methods and training skills to the 1,000 DSA experts. Then they can go forth and conduct trainings on a scale that gets us to the 500,000 goal.

So what is the Fundamentals of Analytics? Well, its a method I developed to teach fresh grads and young professionals the basics of business analytics in a short period of time.

The course material, when combined with case studies and hands on exercises, can take some quite unfamiliar with analytics and get them to shift their mindset to thinking data first.

I call my method, Getting IT: The 3 I’s and the 3 T’s of Analytics.

Getting IT Picture1

I borrow the concept of the 3 I’s from a book called the Accidental Analyst. 

Getting IT Picture2

To train someone to be an analyst you need to make them aware of how to find the right data, how to analyze it and how to share it. The 3 I’s.

For analytics to work, you have to have a combination of good talent, technology and technique.

It’s really that simple.

As you discuss any analytics case study or approach any hands on exercise using real data, you plan the 3 I’s and you assess how to use the 3 T’s.

Now take someone who is already an analyst and get them to be able to explain this concept, have them draw from their own experience and their own set of skills, and you have the recipe for a moonshot.

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Analytics Leadership – DMAIPH is a founding member of the Analytics Association of the Philippines (AAP.PH) and specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization. Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture. We have guided thousands of Filipino professionals to become better analytics leaders.

Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership.

So What Is #DataRockPinas?

It is a movement.

It is an advocacy.

It is a great cause.

#DataRockPinas is all about taking analytics training out of Manila and bringing it to the provinces.

#DataRockPinas is all about taking what has traditionally been an expensive, corporate only training and delivering it to hundreds of thousands of Filipinos.

#DataRockPinas is an initiative of several member companies of the Analytics Association of the Philippines. http://www.aap.ph

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  • Data Night UM (University of Mindanao)
  • Big Data 101 Davao
  • Davao Analytics Executive Roundtable
  • Mindanao Analytics Freelancers Meet Up

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  • Big Data Analytics & Data Value Chain
  • Train the Analytics Trainer
  • Data Night Bacolod

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  • Big Data 101 – Iloilo
  • Visayas Analytics Freelancers
  • Data Night Iloilo

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  • Big Data Analytics & Data Value Chain
  • Data Night Cebu 2018

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Analytics in the Philippines – The Philippines is at the center of the action when it comes to solutions to the global need for analytics. Blessed with a solid foundation of young, educated and English speaking workforce, companies around the world are look for Filipino analytics talent to fill analytics positions.

Analytics Leadership – DMAIPH is a founding member of the Analytics Association of the Philippines (AAP.PH) and specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization. Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture. We have guided thousands of Filipino professionals to become better analytics leaders.

Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership.

Upskilling the Next Wave Cities in Analytics

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SO what have we been up to with the DMAIPH and the AAP?

Take a look:

Data Night Cebu  – Sept 8, 2017 – 60 Attendees

Big Data 101 – Cebu – Oct 16, 2017 – 40 Attendees

Visayas Analytics  Freelancers – Oct 16, 2017 – 25 Attendees

Data Night Gensan – Oct 18, 2017  – 50 Attendees

Big Data Conference 2017 – BGC SM Aura – 300 Attendees are Expected

Data Night University of Mindanao – Nov 24, 2017 – Expecting 200 attendees

Big Data Strategy for HR Managers – Ortigas – Nov 28-29 – Expecting 40 attendees

Big Data 101 – Davao – Nov 25, 2017 – Expecting 30 Attendees

Analytics Freelancers Mindanao – Dec 8, 2018 – Expecting 25 Attendees

Big Data Analytics & Data Value Chain – Bacolod – Dec 8, 2017 – Expecting 25 Attendees

Train the Analytics Trainer Batch II – Bacolod, Dec 11, 2017 – Expecting 15 Attendees

Data Night Iloilo – January 12, 2018 – Expecting 100 Attendees

Big Data 101 Iloilo – January 12, 2018 – Expecting 30 Attendees.

And that is how you start the ball rolling to upskill train 500,000 Filipinos by 2022.

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Analytics Leadership – DMAIPH is a founding member of the Analytics Association of the Philippines (AAP.PH) and specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization. Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture.

We have guided thousands of Filipino professionals to become better analytics leaders. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership.

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Analytics Education = Out with the Old, In with the New

Having spent the last 5 years talking about analytics here in the Philippines, it seems we are finally at a place where a significant percentage of leaders and decision-makers are now aware that they need a good analytics strategy for their business to succeed.

Now that we are finally at point where people in power get, we have another challenge. Just because they get it doesn’t mean they know how to enable it.

In fact most of our current solutions to educate and train when it comes to analytics seems to be a bit old fashioned. Analytics evolves much faster then traditional education models can keep up with.

In fact, most people learn analytics on the job. Some attend public trainings. A few receive practical experience while in school. Very few learn in vocational or apprentice like programs.

Almost all the training is done in person, with an expert teaching in a classroom setting.

Most of the training is done by talking theory and doing some exercises on mock data.

Due to data privacy issues, few companies allow employees to get up skill training while using their own data and towards solving real business problems.

To compound the challenge, there are a precious few analytics experts to go around to meet the surging demand for analytics education and training.

When I do the math… 500,000 Filipinos need analytics training in the next 5 years to ensure we can deal with the wave of digital transformation the world in undergoing.

So now what?

It’s easy to say online training is the solution. And it is part. But just filming a training and reshowing it loses a lot of the impact. When learners aren’t engaged they struggle to absorb most of the content.

So live online classes that have an interactive ability are key.

Harnessing the power of YouTube and looking at things like TED talks give us some ideas.

Formal corporate trainings can be supplemented and eventually superseded by meet-up groups and more informal learning sessions.

Formal education has to transition more from the class room and to on the job.

Right now, students spend 90% of their time in classroom and less then 10% on the job working with real data solving real problems. Many schools struggle with educating on analytics topics because they don’t have qualified professors.

Lets flip that around. Let the subject matter experts working in the field do more of the education in the workplace.

That’s just three ideas; Interactive Analytics Talks, Optimizing Meet Up Groups and much more dynamic On the Job training.

What else can we do to shot for the moon?

Dr. Data_Analytics in the Philippines

Analytics Training – DMAIPH offers a wide range of analytics centric training solutions for professionals and students via public, in-house, on-site, and academic settings. We tailor each training event to meet the unique needs of the audience. If you need empowerment and skills enhancement to optimize the use of analytics in your organization, we are here to help. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.

Has the Philippines BPO Industry Lost It’s Edge?

Just read Tholons latest paper on Digital Disruption: http://www.tholons.com/pdf/TSGI%20Report%202017.pdf

As if things aren’t gonna be hard enough, the BPO industry here in the Philippines is not evolving fast enough. The tidal wave of digital disruption is not something we are adequately prepared for.

Although we are #3 overall when it comes to countries in a position to continue to benefit from globalization, being one of the top countries is by no means assured.

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For the past decade its mainly been a battle between India and the Philippines, but China has crashed the party and a lot of Latin American countries are in hot pursuit.

If you are one who thinks the BPO industry here is gonna continue to see 20% year over year growth, then this slide should give you pause.

Why? Because although blessed with some amazing advantages for customer service, we aren’t currently optimizing our focus on digital transformation.

When you look at the next image, you see both Manila and Cebu have lost ground in the battle of global cities in the past year as well.

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Manila was #2, now its #4. Now is not the time to be complacent. We need to invest heavily in upskilling our BPO workforce to offer higher value chain services. We need to champion for strong DSA programs in the schools. And we need to make sure decision-makers are armed with the data they need to keep the Philippines on the cutting edge of globalization.

Thats why we have the AAP.PH and why we have launched Augment BPO.

17426122_1095825400562902_5936762267508985241_nAnalytics Leadership – DMAIPH is a founding member of the Analytics Association of the Philippines (AAP.PH) and specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization. Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture. We have guided thousands of Filipino professionals to become better analytics leaders. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership. #AAP.PHMoonshot

The Augment BPO Data Science and Analytics Advocacy Project (Augment BPO) is empowering BPO Companies, Executives, and Workers in the Philippines to prepare for and address the clear and present danger posed by Artificial Intelligence Chatbots (AI Chatbots) to BPO revenue growth and jobs through Data Science and Analytics strategy planning, awareness building and upskill training. #AugmentBPO

Top Data Science & Analytics Skills in Demand: 2017 vs 2022

One question I get asked a lot are what are the best skills to master for Data Science & Analytics (DSA) jobs right now?

Another question is what skills will be in demand five years from now.

With both questions, most of the ones asking are looking for specific applications or tools to learn. Often my reply is that it really doesn’t matter which tool or application you use as much as you get practical experience working with data.

My point is that job titles and technical skill sets come and go as technology evolves… what you really need to do is be in a place where your curiosity and critical thinking are continuously challenged. It helps to also be somewhere that encourages new solutions and has a culture that fosters innovation.

Not easy to find, but thats more important to me then what you learn now. That said, I still have to answer the questions with some sense of what to learn and master so…

Here are some of the top DSA skills needed right now:

  • Management Reporting
  • Advanced Excel
  • Familiarity with Business Intelligence Tools
  • SQL Coding for Teradata Databases
  • Transforming Data Warehouses into Data Lakes
  • Business Dashboards and Data Visualization with Tableau
  • Predictive Analytics with R and Azure
  • Predictive Model Building with SPSS
  • Data Storytelling

By no means a exclusive list… if you do a quick search of job posting for DSA professionals you will not find two job posts with the exact same requirements.  From where I sit, these are just the ones I see a lot.

When it comes to the future, I did a quick search and came up with this list…

Here are some of the top DSA skills likely needed over the next 5 years.

  • Natural Language Generation and Text Analytics
  • Human/BioMetric Analytics
  • Machine Learning
  • Prescriptive Analytics
  • Chat Bot Design and Maintenance
  • AI Virtual Assistants Design and Programming
  • IoT Sensor Analytics

Again… not even close to a complete list, but you can get a sense of where things are going.

Assuming most companies mature past the basic analytics phase and that we continue moving towards AI solutions at the current pace, there will be a lot of new analyst jobs out there with new titles. Data Scientists will be busy solving a wide range of data challenges that currently still seem like Science Fiction today.

At least that’s my take as of now.

It will change.

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The Augment BPO Data Science and Analytics Advocacy Project (Augment BPO) is empowering BPO Companies, Executives, and Workers in the Philippines to prepare for and address the clear and present danger posed by Artificial Intelligence Chatbots (AI Chatbots) to BPO revenue growth and jobs through Data Science and Analytics strategy planning, awareness building and upskill training.